According to dictionaries “101” refers to introductory lessons or beginners overview or tutorials. Over the course of this podcast we already have taken this approach a couple of time (e.g. on Open Access). But as technology and processes develop, might be useful to do this again from time to time. This time we want to take a brief look at the whole research cycle and try to provide a bit of information about a few general entry points for doing research more openly. This 101 is by far not exhaustive and makes no claim to be complete, but our aim was to show you some starting points from where you could dive deeper into the matter if you like. Have fun!

Open Access Week is on and this year’s motto is “Open in Action”. Thus we’ll take the chance to feature a really interesting open science project we’ve recently stumbled upon: OpenML. OpenML sets out (and actually already achieved) to make machine learning available to a broader audience (especially scientists) and build a platform to create, share, evaluate and use machine learning algorithms. We took the chance to talk to Heidi Seibold and Joaquin Vanschoren about the project’s history, current state and future plans! Feel invited to give OpenML a chance, test it, or contribute to it. For now, enjoy this episode!

As you might have heard in earlier episode we came up with the idea of trying to develop an open science curriculum (and teaching material) for the general concepts underlying the practices of open science. For kickstarting this project this year’s Mozilla Science Global Sprint, which ended today, came in really handy. And after two days of great with with a number of contributors from various countries and backgrounds we’ve made quite some progress. This was a great experience and as Konrad says in the episode, this was a sprint and what follows is the marathon to build on this and continue from there. So hopefully you’ll keep hearing about the project from us as we will continue working on it. If you wanna contribute, you are invited to join us!

For now, have fun listening to Konrad, Andreas and Markus with an introduction to the project and a short sprint report.